Detecting communities by suspecting the maximum degree nodes

Detecting the natural communities in a real-world network can uncover its underlying structure and potential function. In this paper, a novel community algorithm SUM is introduced. The fundamental ...

[1]  A. Hoffman,et al.  Lower bounds for the partitioning of graphs , 1973 .

[2]  F. Radicchi,et al.  Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Fanghua Ye,et al.  Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection , 2018, CIKM.

[4]  Michael W. Berry,et al.  Algorithms and applications for approximate nonnegative matrix factorization , 2007, Comput. Stat. Data Anal..

[5]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Yu Zhou,et al.  Nonnegative matrix factorization with mixed hypergraph regularization for community detection , 2018, Inf. Sci..

[7]  Ulrik Brandes,et al.  On Modularity Clustering , 2008, IEEE Transactions on Knowledge and Data Engineering.

[8]  David F. Gleich,et al.  Heat kernel based community detection , 2014, KDD.

[9]  Junming Shao,et al.  Community Detection based on Distance Dynamics , 2015, KDD.

[10]  Yonggang Wen,et al.  Algorithms and Applications for Community Detection in Weighted Networks , 2015, IEEE Transactions on Parallel and Distributed Systems.

[11]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Satish Rao,et al.  A Flow-Based Method for Improving the Expansion or Conductance of Graph Cuts , 2004, IPCO.

[13]  Jitendra Malik,et al.  Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Wei-keng Liao,et al.  Fast Algorithms for the Maximum Clique Problem on Massive Sparse Graphs , 2012, WAW.

[15]  S. Fortunato,et al.  Resolution limit in community detection , 2006, Proceedings of the National Academy of Sciences.

[16]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Martin Rosvall,et al.  Multilevel Compression of Random Walks on Networks Reveals Hierarchical Organization in Large Integrated Systems , 2010, PloS one.

[18]  W. Zachary,et al.  An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.

[19]  Azadeh Shakery,et al.  Personalized PageRank Clustering: A graph clustering algorithm based on random walks , 2013 .

[20]  Maoguo Gong,et al.  Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition , 2014, IEEE Transactions on Evolutionary Computation.

[21]  Heyan Huang,et al.  Community Detection Based on Minimum-Cut Graph Partitioning , 2015, WAIM.

[22]  Mei Chen,et al.  MulSim: A Novel Similar-to-Multiple-Point Clustering Algorithm , 2018, IEEE Access.

[23]  Jiawei Han,et al.  ACM Transactions on Knowledge Discovery from Data: Introduction , 2007 .

[24]  P. Jaccard THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1 , 1912 .

[25]  Bo Wang,et al.  Effectively clustering by finding density backbone based-on kNN , 2016, Pattern Recognit..

[26]  M. Newman,et al.  Identifying the role that animals play in their social networks , 2004, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[27]  H. White,et al.  “Structural Equivalence of Individuals in Social Networks” , 2022, The SAGE Encyclopedia of Research Design.

[28]  M. Newman,et al.  Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  M E J Newman,et al.  Fast algorithm for detecting community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Benjamin H. Good,et al.  Performance of modularity maximization in practical contexts. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[31]  Konstantin Avrachenkov,et al.  Cooperative Game Theory Approaches for Network Partitioning , 2017, COCOON.

[32]  M. Urbaniak,et al.  Thermal entanglement in a triple quantum dot system , 2013 .

[33]  Jie Tang,et al.  Detecting Community Kernels in Large Social Networks , 2011, 2011 IEEE 11th International Conference on Data Mining.